The classifier region name shouldn’t matter (in prediction and anomaly detection scenarios). The one difference I notice from the detector in NAB is modelParams["modelParams"]["tpParams"]["pamLength"] = 3, but here it’s 5. This param will have influence the anomaly scores.
Is there more data you’re not showing before these plots? The anomaly scores should be high and erratic when initially learning a data stream.